#robotiq
Live, measured metrics for the hashtag #robotiq from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #robotiq
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 14:54 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 14:54 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 14:54 UTCEverything below is measured over the latest 2 public posts (spanning ~7250 hours).
Posting hours (UTC)
Languages: English (1) · Chinese (Taiwan) (1)
Avg boosts / post: 0
Top of the latest posts
Lukas Ziegler (@lukas_m_ziegler) Robotiq가 촉각 센서 TSF-85의 디지털 트윈을 NVIDIA Isaac Sim에 공개했다. 로보틱스 AI가 시각 중심에서 벗어나 촉각 정보를 시뮬레이션에 통합할 수 있게 해주며, 조작·그립·접촉 기반 학습과 검증에 유용한 업데이트다. https://x.com/lukas_m_ziegler/status/2062173943927095673 #robotiq #nvidi
🌘 UR5 機械手臂與 Robotiq 85 夾爪:物件抓取與放置模擬 ➤ 在 PyBullet 中模擬 UR5 機械手臂與 Robotiq 85 夾爪進行物件抓取與放置 ✤ https://github.com/leesweqq/ur5_grasp_object_pybullet 本專案使用 PyBullet 環境模擬 UR5 機械手臂與 Robotiq 85 夾爪,執行自主抓取及放置物件的任務。透過逆向運動學(IK)實現精確手臂控制,並同步控制夾爪關節以模擬真實操作。專
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/robotiq